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Privacy Preserving Machine Learning Jobs in Miami, FL

... machine learning algorithms to uncover hidden patterns, trends, and correlations within large data ... Experience with Risk Management Framework (RMF) and its application to data security and privacy.

... machine learning algorithms to uncover hidden patterns, trends, and correlations within large data ... Experience with Risk Management Framework (RMF) and its application to data security and privacy.

Familiarity with machine learning techniques and predictive modeling in healthcare contexts ... Ensure compliance with healthcare regulations and data privacy standards while managing sensitive ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... data privacy and security. • Implement error handling, logging, and monitoring frameworks to ... of machine learning workflows and MLOps practices. Company : Radiology platform saving insurance ...

... machine learning algorithms to uncover hidden patterns, trends, and correlations within large data ... Experience with Risk Management Framework (RMF) and its application to data security and privacy.

Data Engineer

Miami, FL · On-site

$120K - $180K/yr

Adhere to healthcare compliance requirements (e.g., HIPAA) and best practices for data privacy and ... Knowledge of machine learning workflows and MLOps practices. The base salary range for this ...

Data Engineer

Miami, FL · On-site

$120K - $180K/yr

Adhere to healthcare compliance requirements (e.g., HIPAA) and best practices for data privacy and ... Knowledge of machine learning workflows and MLOps practices. The base salary range for this ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Familiarity with security, privacy, and compliance considerations The wage range for this role ...

Showing results 21-40

Privacy Preserving Machine Learning information

See Miami, FL salary details

$95.2K

$110.5K

$123.9K

How much do privacy preserving machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for privacy preserving machine learning in Miami, FL is $110,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $123,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.
What job categories do people searching Privacy Preserving Machine Learning jobs in Miami, FL look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Miami, FL are:
What cities near Miami, FL are hiring for Privacy Preserving Machine Learning jobs? Cities near Miami, FL with the most Privacy Preserving Machine Learning job openings:

Regional Director, Casino Digital Marketing

180 Seminole Hard Rock Support Services

Davie, FL

Full-time

Re-posted 25 days ago


Job description

Our team members are the key to our company’s success, and their health and well-being, as well as that of their families, is very important to us. We offer a comprehensive benefits package that allows our team members stay healthy, plan for their future and maintain a healthy work-life balance. Benefits may vary with employment status.  To see our fill list of Team Member Benefits please visit our career site: www.gotoworkhappy.com/benefits

Job Description:

Seminole Hard Rock Support Services (SHRSS) is seeking a results-driven Regional Director of Casino Paid Digital Marketing to lead strategy, execution and optimization of all paid digital and social campaigns across Seminole Gaming (SGA) properties. In direct partnership with heads of marketing at each property, this leader will be focused on driving gaming acquisition and retention – driving player growth, annual gaming revenue and player loyalty across all our casino and gaming offerings.

The Regional Director of Casino Paid Digital Marketing will also collaborate closely with Hard Rock’s media agency of record to orchestrate complex paid campaigns, enable precise consumer targeting, develop custom attribution models and design consumer journeys that maximize lifetime value. The ideal candidate pairs deep performance-marketing expertise with a strong understanding of the gaming customer and the compliance landscape that governs how we reach them.

Key Responsibilities

  • Serve as the centralized paid media partner to property marketing leads, bringing specialized expertise, strategy, and execution to meet annual gaming revenue goals.
  • Translate property business objectives and micro- and macro-market dynamics into tailored paid media campaigns across all casino and gaming initiatives.
  • Partner with the media agency of record on annual budgeting, planning, and forecasting for casino marketing — establishing budgets, media mix, performance benchmarks, and KPIs.
  • Lead holistic planning for property promotions, events, gaming floor activations, and special offers in coordination with casino marketing teams.
  • Establish an organic-to-paid amplification workflow that extends casino and hotel events, promotions, and offers across paid channels.
  • Oversee the management of paid digital and social campaigns across Google, Meta, TikTok, YouTube, programmatic display, and CTV/OTT.
  • Define player segments, identify high-value player opportunities, and design personalized engagement journeys.
  • Lead first-party data activation across the casino portfolio, integrating Hard Rock's Unity Loyalty Rewards Program to drive member engagement, repeat visitation, and re-engagement of lapsed players.
  • Direct creative strategy and asset development with internal teams and the creative agency of record to ensure relevance to target player segments.
  • Collaborate with CRM, loyalty analytics, and product teams to connect paid acquisition with retention and player-development programs.
  • Align casino campaigns with broader hotel brand and entertainment initiatives, partnering with the Director of Paid Digital & Social.
  • Apply AI and machine learning across campaign strategy, optimization, audience targeting, and predictive player modeling.
  • Ensure compliance with responsible gaming standards, data privacy regulations, and state-level gaming marketing requirements across all digital initiatives.
  • Conduct ongoing competitive benchmarking and platform POVs, staying current on gaming marketing trends, algorithm changes, and emerging technologies.

Qualifications & Experience

  • 10+ years of digital marketing experience, with at least 5 years in casino, gaming, or hospitality marketing
  • Proven track record driving customer acquisition and retention in gaming, casino, sports betting, iGaming, or another regulated, high-velocity consumer industry.
  • Proven track record managing paid digital campaigns at scale across Google Ads, Meta, TikTok, YouTube, DV360, and programmatic channels with measurable ROI
  • Working knowledge of 1P data activation
  • Knowledge of AI and machine learning applications, including their impact on marketing strategy, audience targeting, personalization, optimization, and performance measurement
  • Experience partnering with media buying and creative agencies
  • Expertise of gaming requirements and gaming marketing compliance regulations at the state level
  • Proficiency with campaign reporting and data visualization tools and ability to translate complex data into executive-ready insights
  • Exceptional communication and presentation skills

Work Environment

This position is based at Seminole Hard Rock Support Services headquarters in a professional office environment, with periodic travel to Hard Rock Hotel & Casino properties across the SGA and HRI portfolio.

Pre-Employment Process

Employment with Seminole Hard Rock Support Services requires successful completion of the pre-employment process, including a satisfactory background check and, where applicable, gaming regulatory review.

Equal Opportunity Employer

Seminole Hard Rock Support Services is an equal opportunity employer. We strive to foster an inclusive workplace culture for every team member and welcome applications from people with disabilities. Reasonable accommodation is available upon request for candidates taking part in all aspects of the selection process.